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The purpose of this paper is to evaluate the impact of investment in Intangible Assets on the corporate performance of Indian companies for a period of twelve years from 2001 to 2012.

Intangible assets have been measured using the “Intangible Assets Monitor” method developed by Sveiby (1997).

The results of panel data regression model reveal that Intangible Assets affect performance of companies positively after controlling for firm size, age, leverage, physical capital intensity, market share, risk, industries and dummy year.

The study is of immense importance to corporate managers in improving managerial insight into the significance of investment in Intangible Assets. The results direct Indian managers to understand and realize the importance of Intangible Assets and keenly invest in research and development, technology, software, advertising, customer relationship management and human resources to further augment their performance.

Specifically considering India, the research related to the association between Intangible Assets and performance is undersized. Thus, the present study would contribute to the existing literature comprehensively.

The purpose of this paper is to provide an appropriate model for IC reporting in the transitional economic system of Serbia.

The existing methods of IC reporting as well as the actual needs of organizations in Serbia related to measuring IC (i.e. key influencing factors of IC) and their unique features represent the fundamentals of an adequate model for IC reporting.

A group of selected IC indicators in Serbia differs from typical relevant indicators mainly due to the specifics of the environment. Preliminary investigation of organizational IC in Serbia was carried out and a number of initiatives for improvement and development of the existing IC have been suggested.

An implementation of the proposed model is limited to the observed environment. The suggested group of indicators should be viewed more as a basis for a general application of IC reporting and management in Serbia, rather than an absolutely accurate model for IC measuring. Despite its limitations, the model can be utilized as a starting point for IC management research.

Selecting a group of relevant indicators that are adapted to particular environmental features simplifies IC measuring and contributes to IC reporting and management in Serbia.

Even though there exist numerous methods for IC measuring, this research provides an insight into the specific features of IC and enables the fine‐tuning of the existing methods. An objective and accurate model for general implementation of IC reporting and management is developed for a transitional environment.

This study develops a robust model to measure intellectual capital efficiency (ICE). It also analyzes ICE across Gulf companies, sectors and countries.

This study uses data envelopment analysis (DEA), the Malmquist productivity index (MPI), difference tests and additional analyses on a dataset consisting of 276 firm-year observations.

The findings indicate that the study model is robust to additional analysis. The results show significant differences in ICE between firms during the study period and noteworthy differences between countries, where the Qatari and Bahraini firms achieved the best ICE compared to other countries.

The results of this study have significant ramifications for increasing knowledge of ICE analysis models among relevant parties. In addition, the findings may affect trading strategies because investors and financiers are motivated by the potential for lucrative financial returns on their investments in companies that prioritize ICE strategies.

This research contributes to the literature by proposing a robust model for estimating the ICE. It also compares ICE across Gulf companies, industries and countries to shed light on their ICE challenges.

A “Swedish Community of Practice” emerged during the mid 1980s in Sweden. The “community” today follows two tracks; one is Human Resource Costing & Accounting (HRCA) and the other is a nonfinancial measurement system for intangible assets based on a theory originally brought forward by a work group consisting of members from several Swedish knowledge companies, the so called “Konrad Group.” This article describes the development of the latter track. Inspired by McLuhan, it is suggested that individuals in organizations create external and internal structures to express themselves. Indicators can be created that monitor External Structure (Customers and Suppliers), Internal Structure (Organization) and People's Competence. The indicators can be incorporated into a management information system. Indicators that monitor renewal, efficiency and stability are preferred. A matrix framework, called “The Intangible Assets Monitor,” is suggested for presenting the indicators. A number of generic indicators are defined under each heading and suggestions for interpretation and examples of how Swedish companies use the indictors are cited.

The competitive model has changed. In this context, society entered into an era in which intangible assets are the greatest assets of a company. However, some gaps and uncertainties are presented in the literature as to understand the value of a company based on knowledge intensive activities. The purpose of this paper is to analyze the methods of evaluation of intangible assets in the context of business, economic and strategic management.

This is a qualitative research. This research is characterized as descriptive, bibliographic, inductive.

The main results of this research can highlight the existence of valuation methods of intangible assets intended for specific industries, as public and/or private, that can be better aligned to the context of business; economic and/or strategic management.

It was found that intangible assets are a current topic and increasingly addressed in the literature.

Today’s measurement systems fail to adequately account for intellectual capital (IC) in a transparent yet comprehensive manner. In spite of many recent attempts to qualify and sometimes quantify intangibles, there exists as yet not one standardized system that is sufficiently developed and globally accepted. The aim of the present paper is to contribute towards the creation of such a system. The financial method of intangible assets measurement (FiMIAM) presented in this paper aims to overcome some of the weaknesses of recent methods of IC valuation, and contribute to the creation of complete balance‐sheets, reflecting both the tangible and intangible assets of a company.

Substantial differences between company book values and market values indicate the presence of assets not recognised and measured in company balance‐sheets. Intellectual capital assets account for a substantial proportion of this discrepancy. At present, companies are not required to report on intellectual capital assets, which leaves the traditional accounting system ineffective for measuring the true impact of such intangibles. Regulations currently in place are analysed in this article. Prior research concerning intellectual capital is presented. Frameworks for intellectual capital are compared. Indicators used for the measurement of intellectual capital are examined. The research methodologies employed for collecting information about the use of intellectual capital accounts in companies are reviewed. Guidelines available to companies for reporting on intellectual capital are considered and also the efforts made towards developing an accounting standard for intellectual capital. Finally, current issues and policy implications of accounting for intellectual capital in the future are examined.

This paper aims to investigate the possible corporate governance attributes that can influence companies in Ghana to disclose intangible assets in their annual reports to stakeholders.

A data set from 110 firms in Ghana for the year ending of 2016 was used. Each annual report was individually examined and coded to obtain the disclosure of intangible asset information index. Descriptive analysis was performed to provide the background statistics of the variables examined. This was followed by regression analysis, which forms the main data analysis method.

A large proportion of companies disclosed that the useful lives of intangible assets (either acquired or internally generated) are finite and also disclosed their useful lives or the amortisation rates used. Auditor type, industry type and leverage were the factors influencing the compliance with IAS 38 disclosure requirements.

This is the first study in Ghana that considered the impact of corporate governance factors on IAS 38 information disclosures. This study contributes to the literature on the relationship between corporate governance and disclosure by showing that the disclosure of intangible asset information in Ghana is associated with Auditor type, industry type and leverage.

This paper aims to propose a framework for intangible asset management in business and industrial organizations. The proposed framework is applied to a case example company in the Stock Exchange of Thailand.

The proposed framework refines the strategy map concept in the balanced scorecard approach for use in intangible asset management. There are two phases, the top‐down phase involving a four‐step intangible asset identification process and the bottom‐up phase establishing the cause‐effect relationships between the intangible assets of the various functional departments in the organization and its financial performance.

Intangible assets belong to different functional departments. They must be carefully monitored and properly nurtured by the organization. Intangible assets depend not only on the type of functional departments but also the type of industries. To be competitive in today's knowledge economy, it is vital for business and industry to identify and locate the intangible assets in their functional departments and then establish how they contribute to the financial performance of the organization.

Understanding of the framework will lead to tangible benefits and competitive advantage once the intangible assets are brought under control, properly managed, and suitably funded.

In this paper content analysis is used to examine the lobbying positions of publicly listed companies making submissions on ED 49, Accounting for Identifiable Intangible Assets. A number of content analysis measures are used in an attempt to gain additional insights into the strength of lobbying positions held. The influence of debt contracting and political costs variables upon lobbying position on capitalisation and amortisation of identifiable intangible assets is investigated. Significant relationships are found with the explanatory variables interest coverage, company size, effective tax rate and membership of a politically sensitive industry. These relationships are most consistently observed when lobbying position is measured using more basic content analysis techniques, such as sentence counts and counting the number of supporting arguments presented in submissions. Use of apparently more sophisticated techniques of content analysis fail to perform as well, possibly due to the introduction of greater subjectivity to the process.